Zhiwei Jiang
Zhiwei Jiang has 4 papers in our library, in 2025, most of them on Language models & pretraining; often with Qing Gu, Yafeng Yin, Yuchen Fu.
OpenAlex · ORCID · h-index 20 · 148 works · 1,539 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 83 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7518
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 3 works
Works by year
2020s
Papers
- LocAgent: Graph-Guided LLM Agents for Code Localization (2025 · 27 citations)
Code localization means finding the files, classes and functions that must be edited to resolve an issue. It is difficult because issue reports often describe symptoms rather than causes, and the relevant code may sit several dependency steps away. LocAgent addresses this by converting a Python repository into a… - LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models (2025 · 16 citations)
Large language models handle inputs poorly once these exceed the context length seen during pretraining. Continuing training on full-length sequences fixes this but is expensive, since attention cost grows quadratically with length. LongRecipe is a training framework that extends the context window without training… - Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs (2025 · 10 citations)
Decoder-only LLMs rely on causal attention. When sentence embeddings are extracted from them without fine-tuning, tokens near the start of the input cannot see later tokens. Prompt-based methods such as PromptEOL read the embedding from the final prompt token, but that token still inherits the skewed representations… - Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering (2025 · 8 citations)
Large language models can produce sentence embeddings without any training data or fine-tuning: a prompt wraps the sentence, and the hidden state of the final token serves as the vector.
All works
- A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction ↗IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yetZifeng Cheng et al.2021 · 70 citations
- LocAgent: Graph-Guided LLM Agents for Code LocalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoling Chen, Robert Tang, Gangda Deng, et al.2025 · 27 citations
- LongRecipe: Recipe for Efficient Long Context Generalization in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Hu, Yuliang Liu, Jinman Zhao, et al.2025 · 16 citations
- Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, et al.2025 · 10 citations
- Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Zifeng Cheng, Zhonghui Wang, Yuchen Fu, et al.2025 · 8 citations
Co-authors here
- Qing Gu ×3
- Yafeng Yin ×2
- Yuchen Fu ×2
- Zhonghui Wang ×2
- Zifeng Cheng ×2
- Anh Tuan Luu
- Arman Cohan
- Bryan Hooi
- Jialong Wu
- Jinman Zhao
- See-Kiong Ng
- Wei Shen
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×4: ACL 2025 ×4
- IEEE/ACM Transactions on Audio Speech and Language Processing
Cited by
Updated
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